Key job responsibilities
In this role, you will:- Foster a data-driven culture where hypotheses are tested, insights are derived from robust analysis, and decisions are grounded in evidence.- Advance scientific excellence by promoting innovation, rigor, and engineering craftsmanship across both science and engineering disciplines.
- Mentor and grow talent by hiring top-tier scientists and engineers, and providing ongoing coaching for both career growth and technical development.A day in the life- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
- 5+ years of scientists or machine learning engineers management experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
- Experience directly managing scientists or machine learning engineers
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 4+ years of industry or academic research experience
- 5+ years of building machine learning models or developing algorithms for business application experience
- Experience hiring and growing top talent
- Experience in applied research
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
- Experience programming in Java, C++, Python or related language
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